Abdullateef Badmus's Work | ContraWork by Abdullateef BadmusAbdullateef Badmus
AI Automation Engineer for SaaS, fintech & real estate
Since I posted my last post for lawyers...
I have gotten a few questions on how a law firm actually connects to the system... So I recorded it!
And I name it CaseFind now!!
CaseFind is a search assistant for case files. Lawyers ask a question in plain English, and it answers from their own documents, with a LINK to the original file so they can verify it themselves
In this video, I set it up for a demo firm
1️⃣ The firm puts their case files in one Google Drive folder
2️⃣ They share that folder, view-only, with a dedicated CaseFind service account
3️⃣ They start asking questions
That’s it!
Their files stay in their own Drive
CaseFind only sees the one folder they share, and they can remove access any time.
And when the answer isn’t in the files, it says so
It doesn’t guess!!
If you’re a lawyer, or you know a firm drowning in folders and papers on shelves,
they need CaseFind
My name is Abdullateef,
I build AI systems to help businesses scale
#LegalTech #AI #RAG #Automation #Nigeria My 27th AI system!!
While teaching the second cohort of learners from FAAB - Freelancing As a Business (https://www.linkedin.com/company/faab-freelancing-as-a-business/), we discussed RAG agents...
I built an RAG system for lawyers because.....it WORKS
And takes a lot off their tables
Those guys spend so much time digging through shelves and folders just to find one case file
Sometimes you don't even remember if you've handled something similar before
So, I built an AI system that fixes it!!
Drop a case file into a folder, and it automatically gets processed, indexed, and made searchable
Just ask it a question....
And it answers instantly, SEMANTICALLY!
Pulling exact facts even from deep inside a long document
If you're a lawyer or know one who could use this, send them my way
My name is Abdullateef,
I build AI systems to help businesses scale Real estate businesses often lose potential clients due to missed calls, delayed responses, or inefficient manual follow-ups.
Thus I built this project to demonstrate how AI can automate the entire front-desk experience , from first contact to lead qualification and follow-up , to booking appointment with a human agent. An n8n workflow that:
Reads a lead list from Google Sheets daily
Calculates a lead score based on multiple weighted criteria
Categorizes each lead as Hot or Cold
Logs the score and category back into the sheet
Automatically sends a personalized pitch to Hot leads
Generates smart next-action suggestions for Cold leads